Optimization of Power and Operation Characteristics of a New External Axis Wind Turbine
Bibliographic record
Abstract
A new class of wind turbine termed the external axis wind turbine (EAWT) has been recently developed. The EAWT is a new class of wind turbines that combines the low cost of vertical axis wind turbines with the high power of horizontal axis wind-turbine. This paper is a first step study that assumes a constant wind speed and a simple on-off controller. The paper optimizes the number of blades in the EAWT and the time at which the controller must be turned on to simultaneously maximize the power while minimizing the time required to reach optimal operation. The multi-objective optimization on the EAWT is performed on a response surface that is generated using Computational Fluid Dynamics (CFD) simulations. The turbulence model and mesh-sizing for the CFD simulations are validated against previously published experimental results on a buff body. To the best of authors’ knowledge, this paper is the first study to investigate changing blade count, and determining optimal operation speed to simultaneously maximize power, while minimizing the time needed to reach peak operational point in wind-turbines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".